Model save
Browse files- README.md +70 -0
- logs/events.out.tfevents.1745476627.s_005_m.2892304.48 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: Hartunka/bert_base_rand_10_v2
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tags:
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- generated_from_trainer
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metrics:
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- spearmanr
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model-index:
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- name: bert_base_rand_10_v2_stsb
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert_base_rand_10_v2_stsb
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This model is a fine-tuned version of [Hartunka/bert_base_rand_10_v2](https://huggingface.co/Hartunka/bert_base_rand_10_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7113
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- Pearson: 0.2554
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- Spearmanr: 0.2386
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- Combined Score: 0.2470
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 10
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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| 2.6698 | 1.0 | 23 | 2.3702 | 0.1154 | 0.0941 | 0.1048 |
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| 1.9073 | 2.0 | 46 | 2.5553 | 0.1762 | 0.1591 | 0.1676 |
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| 1.7118 | 3.0 | 69 | 2.5235 | 0.1830 | 0.1931 | 0.1880 |
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| 1.3839 | 4.0 | 92 | 2.3000 | 0.2717 | 0.2712 | 0.2714 |
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| 1.0676 | 5.0 | 115 | 2.6445 | 0.2323 | 0.2322 | 0.2322 |
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| 0.8664 | 6.0 | 138 | 2.7314 | 0.2522 | 0.2583 | 0.2552 |
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| 0.6989 | 7.0 | 161 | 2.6691 | 0.2727 | 0.2750 | 0.2738 |
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| 0.568 | 8.0 | 184 | 2.8615 | 0.2635 | 0.2681 | 0.2658 |
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| 0.4705 | 9.0 | 207 | 2.7113 | 0.2554 | 0.2386 | 0.2470 |
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### Framework versions
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- Transformers 4.50.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.21.1
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logs/events.out.tfevents.1745476627.s_005_m.2892304.48
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model.safetensors
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